~/interview

Interview with Dave Scholtz from Sift Science on Gaming Fraud Prevention

Interviewat AIBC Europe 2023 · 2023-11-16..11-19· [security, career-development]
links:none on file
slides:none on file

Sift claims a machine-learning platform fueled by over a trillion events that detects account abuse, collusion, bonus and affiliate fraud across the player lifecycle. It reports securing $45 billion in gaming transactions and handling nearly 500 billion transactions worldwide, with 75% of the US iGaming market relying on Sift for automated decisions. The stack links to payment and KYC providers, focuses on automated, AI-driven prevention of mass fake-account creation, and emphasizes reducing chargebacks and preserving seamless experiences for high-value players.

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